A Snakemake workflow to process single samples or cohorts of Illumina paired-end sequencing data (WGS or WES) using trim galore/bwa/GATK4/parabricks.

A fully interactive data storytelling dashboard for e-commerce analytics. Built with Python, Streamlit, and Plotly, it transforms transactional data into actionable insights through KPIs, cohort retention, RFM segmentation, and global visualizations, perfect for analysts and data scientists.

NHC: A computational approach to detect physiological homogeneity in the midst of genetic heterogeneity

The fastest way to make sense of a transaction log.

🫀 Webapp to explore cohorts metadata for the iCARE4CVD project

cohorts.py makes generating cohort analysis from raw data a magical experience

Return on Investment is an out of the box python package for maketing analytics. The first release focuses on cohort analysis. The plan is to slowly include more analysis, as the package grows.

Autoregression model for predicting results on metrics and Cohort analysis.

End-to-end Customer Lifetime Value (CLV) Prediction & Retention Analytics System built with Python, XGBoost, and Streamlit — includes RFM segmentation, cohort analysis, persona insights, model monitoring, drift detection, logs analytics, and automated executive summary reporting.

A Python package for calculating and visualizing cohort retention and other cohort-based metrics with interactive Plotly charts.

A complete ETL solution with a PostgreSQL database, enabling calculation of key business metrics (KPI) such as revenue, ARPU, LTV, churn, retention, and cohort analysis.

Repositório com um script em Python para gerar bases de dados simuladas (Excel) para análises de cohort em SaaS, facilitando o estudo de retenção e churn de clientes.

An analytics project that combines Google Ads + Meta Ads data and translates it into finance metrics.

Caso de Marketing — cohortes, LTV y retención con Python + SQL (modelo analítico y KPIs).

Spark + Airflow + Streamlit pipeline for e-commerce lifecycle KPIs: activation, second order, funnel, cohorts, at-risk (S3/Glue-ready).

Cohort Analysis is a data analytical approach utilized to glean insights into the behaviors and characteristics of specific user or customer groups over time

Python code that predicts which course a student will register for based on their previous registration history.

Country & customer analytics on UCI Online Retail 2011 — cohort, R×F, LTV dashboards (Python + Tableau).

This project explores customer behavior in a large e-commerce dataset, uncovering comprehensive CRM data analysis, data preprocessing and EDA techniques to refine customer interaction, and implemented RFM scoring for dynamic customer segmentation, revealing actionable insights on purchasing patterns.

dbt project